Fetching the paper…
Reading the bibliography…
Semantic parsing aims at mapping natural language utterances into structured meaning representations.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Automated construction of database interfaces: Intergrating statistical and relational learning for semantic parsing
Lappoon R. Tang and Raymond J. Mooney. 2000 · 2000
Earlier work this paper cites.
A statistical semantic parser that integrates syntax and semantics
Ruifang Ge and Raymond J. Mooney. 2005 · 2005
Earlier work this paper cites.
Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
Luke Zettlemoyer and Michael Collins. 2005 · 2005
Earlier work this paper cites.
Multilevel coarse-to-fine PCFG parsing
Eugene Charniak, Mark Johnson, Micha Elsner, Joseph Austerweil, David Ellis, Isaac Haxton, Catherine Hill, R. Shrivaths, Jeremy Moore, Michael Pozar, and Theresa Vu. 2006 · 2006
Earlier work this paper cites.
Compilers: principles, techniques, and tools , volume 2
Alfred V Aho, Ravi Sethi, and Jeffrey D Ullman. 2007 · 2007
Earlier work this paper cites.
Learning synchronous grammars for semantic parsing with lambda calculus
Yuk Wah Wong and Raymond Mooney. 2007 · 2007
Earlier work this paper cites.
Online learning of relaxed CCG grammars for parsing to logical form
Luke Zettlemoyer and Michael Collins. 2007 · 2007
Earlier work this paper cites.
A generative model for parsing natural language to meaning representations
Wei Lu, Hwee Tou Ng, Wee Sun Lee, and Luke Zettlemoyer. 2008 · 2008
Earlier work this paper cites.
Program Synthesis by Sketching
Armando Solar-Lezama. 2008 · 2008
Earlier work this paper cites.
Natural Language Processing with Python
Steven Bird, Ewan Klein, and Edward Loper. 2009 · 2009
Earlier work this paper cites.
Inducing probabilistic CCG grammars from logical form with higher-order unification
Tom Kwiatkowksi, Luke Zettlemoyer, Sharon Goldwater, and Mark Steedman. 2010 · 2010
Earlier work this paper cites.
Lexical generalization in CCG grammar induction for semantic parsing
Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, and Mark Steedman. 2011 · 2011
Earlier work this paper cites.
Coarse-to-fine natural language processing
Slav Petrov. 2011 · 2011
Earlier work this paper cites.
Lecture 6.5—RMSProp: Divide the gradient by a running average of its recent magnitude
T. Tieleman and G. Hinton. 2012 · 2012
Earlier work this paper cites.
Semantic parsing as machine translation
Jacob Andreas, Andreas Vlachos, and Stephen Clark. 2013 · 2013
Earlier work this paper cites.
Weakly supervised learning of semantic parsers for mapping instructions to actions
Yoav Artzi and Luke Zettlemoyer. 2013 · 2013
Earlier work this paper cites.
Semantic parsing on Freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013 · 2013
Earlier work this paper cites.
Scaling semantic parsers with on-the-fly ontology matching
Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, and Luke Zettlemoyer. 2013 · 2013
Cited alongside, same era.
Learning dependency-based compositional semantics
Percy Liang, Michael I. Jordan, and Dan Klein. 2013 · 2013
Cited alongside, same era.
Grounded unsupervised semantic parsing
Hoifung Poon. 2013 · 2013
Cited alongside, same era.
Automatically synthesizing SQL queries from input-output examples
Sai Zhang and Yuyin Sun. 2013 · 2013
Cited alongside, same era.
The Stanford CoreNLP natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014 · 2014
Cited alongside, same era.
GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. 2016 · 2016
Later among the works it cites.
Order matters: Sequence to sequence for sets
Oriol Vinyals, Samy Bengio, and Manjunath Kudlur. 2016 · 2016
Later among the works it cites.
Sequence-based structured prediction for semantic parsing
Chunyang Xiao, Marc Dymetman, and Claire Gardent. 2016 · 2016
Later among the works it cites.
Tree-structured decoding with doubly-recurrent neural networks
David Alvarez-Melis and Tommi S Jaakkola. 2017 · 2017
Later among the works it cites.
Learning structured natural language representations for semantic parsing
Jianpeng Cheng, Siva Reddy, Vijay Saraswat, and Mirella Lapata. 2017 · 2017
Later among the works it cites.
Transfer learning for neural semantic parsing
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
Learning to generate pseudo-code from source code using statistical machine translation
Yusuke Oda, Hiroyuki Fudaba, Graham Neubig, Hideaki Hata, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura. 2015 · 2015
Cited alongside, same era.
Grammar as a foreign language
Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton. 2015 · 2015
Cited alongside, same era.
Type-driven incremental semantic parsing with polymorphism
Kai Zhao and Liang Huang. 2015 · 2015
Cited alongside, same era.
Language to logical form with neural attention
Li Dong and Mirella Lapata. 2016 · 2016
Cited alongside, same era.
Xing Fan, Emilio Monti, Lambert Mathias, and Markus Dreyer. 2017 · 2017
Later among the works it cites.
Component-based synthesis for complex apis
Yu Feng, Ruben Martins, Yuepeng Wang, Isil Dillig, and Thomas Reps. 2017 · 2017
Later among the works it cites.
Neural semantic parsing over multiple knowledge-bases
Jonathan Herzig and Jonathan Berant. 2017 · 2017
Later among the works it cites.
Learning a neural semantic parser from user feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke Zettlemoyer. 2017 · 2017
Later among the works it cites.
Neural semantic parsing with type constraints for semi-structured tables
Jayant Krishnamurthy, Pradeep Dasigi, and Matt Gardner. 2017 · 2017
Later among the works it cites.
Abstract syntax networks for code generation and semantic parsing
Maxim Rabinovich, Mitchell Stern, and Dan Klein. 2017 · 2017
Later among the works it cites.
Neural architectures for multilingual semantic parsing
Raymond Hendy Susanto and Wei Lu. 2017 · 2017
Later among the works it cites.
SQLNet: Generating structured queries from natural language without reinforcement learning
Xiaojun Xu, Chang Liu, and Dawn Song. 2017 · 2017
Later among the works it cites.
SQLizer: Query synthesis from natural language
Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig. 2017 · 2017
Later among the works it cites.
A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig. 2017 · 2017
Later among the works it cites.
Macro grammars and holistic triggering for efficient semantic parsing
Yuchen Zhang, Panupong Pasupat, and Percy Liang. 2017 · 2017
Later among the works it cites.
Seq2SQL: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
Later among the works it cites.